served from IRI/LDEO Climate Data Library
NASA ISLSCP GDSLAM Snow-Ice-Oceans sea nmc_sst sst: Sea Surface Temperature data
sea nmc_sst Sea Surface Temperature from NASA ISLSCP GDSLAM Snow-Ice-Oceans: Global data sets for land-atmosphere models, including snow cover and depth, sea ice, and sea surface temperature data.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (Jan 1987) to (Dec 1988) by 1.0 N= 24 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (179.5W) to (179.5E) by 1.0 N= 360 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (89.5N) to (89.5S) by 1.0 N= 180 pts :grid
Other Info
- scale_max
- 308
- scale_min
- 270
- units
- Kelvin_scale
- standard units*
- degree_Kelvin above 0
References
R. W. Reynolds, T. M. Smith. Improved global sea surface temperature analyses.. J. Climate 7, 1994
Last updated: Mon, 12 Sep 2016 21:16:01 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 NASA ISLSCP GDSLAM Snow-Ice-Oceans sea nmc_sst sst[ X Y | T] | M | M | M |
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Filters
Here are some filters that are useful for manipulating data. There are actually many more available, but they have to be entered manually. See Ingrid Function Documentation for more information.- Monthly Climatology calculates a monthly climatology by averaging over all years.
- anomalies calculates the difference between the (above) monthly climatology and the original data.
- Integrate along X Y T
- Differentiate along X Y T
- Take differences along X Y T
RMS (root mean square with mean *not* removed) over X Y T | X Y X T Y T | X Y T |
RMSA (root mean square with mean removed) over X Y T | X Y X T Y T | X Y T |
Maximum over X Y T | X Y X T Y T | X Y T |
Minimum over X Y T | X Y X T Y T | X Y T |
Detrend (best-fit-line) over X Y T | X Y X T Y T | X Y T |
Note on units